Verifacta - AI Agents for Real-Time Fact-Checking
Technical Architecture
Verifacta's core is built around powerful AI agents that process real-time audio transcription to analyze and fact-check media content. These agents, developed in the Python backend, use advanced natural language processing to identify fact-checkable statements and retrieve accurate, verified information from trusted sources. The frontend, built with JavaScript, provides an intuitive interface for users to interact with the agents, ensuring seamless data transfer and live feedback. These AI agents are the driving force behind Verifacta’s ability to deliver rapid and reliable fact-checking in real-time..
Frontend
The user interface for Verifacta was developed using Electron.js and JavaScript, combined with HTML and CSS. This technology stack ensures a seamless, cross-platform experience, allowing users to effortlessly interact with the application. The frontend was specifically designed to simplify audio recording and efficiently pass recorded data to the backend for real-time analysis. Using Electron.js enabled the creation of a lightweight desktop application, offering an intuitive and user-friendly interface tailored for Verifacta’s live fact-checking functionality.
Backend & Multi-Stage RAG Pipeline
Verifacta's backend was built with Python to develop intelligent AI agents for real-time analysis. These agents leverage the OpenAI API for natural language processing and the Google Search API to cross-reference facts instantly. The agents are designed to analyze live audio, identify fact-checkable statements, and provide verified, real-time responses, making Verifacta a powerful tool for media.
Technichal Architecture Diagram
